Keqi Deng

Orcid: 0000-0003-1490-963X

According to our database1, Keqi Deng authored at least 14 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
FastInject: Injecting Unpaired Text Data into CTC-based ASR training.
CoRR, 2023

Decoupled Structure for Improved Adaptability of End-to-End Models.
CoRR, 2023

Adaptable End-to-End ASR Models Using Replaceable Internal LMs and Residual Softmax.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Alleviating ASR Long-Tailed Problem by Decoupling the Learning of Representation and Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

ETEH: Unified Attention-Based End-to-End ASR and KWS Architecture.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning.
Proceedings of the Interspeech 2022, 2022

Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies.
Proceedings of the Interspeech 2022, 2022

Blockwise Streaming Transformer for Spoken Language Understanding and Simultaneous Speech Translation.
Proceedings of the Interspeech 2022, 2022

Improving Non-Autoregressive End-to-End Speech Recognition with Pre-Trained Acoustic and Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving CTC-Based Speech Recognition Via Knowledge Transferring from Pre-Trained Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model.
CoRR, 2021

Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised Learning.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

History Utterance Embedding Transformer LM for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Hybrid CTC/Attention End-to-End Speech Recognition with Pretrained Acoustic and Language Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021


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